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Data Mining Approaches on Discovering Knowledge for Decision Makers:Towards Sustainable Groundwater Resources Management

机译:决策者发现知识的数据挖掘方法:迈向可持续的地下水资源管理

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Rapid population growth, increased irrigation, and industrial development, dramatically increased risk of vulnerability in water resources especially groundwater resources all over the world. Because of the complexity of water resources management, the traditional knowledge and management cannot be responsible for today. Besides, in recent years more and more data are available and as computational power increases, the idea of data mining has emerged too. With data mining, the information obtained from different sources can be converted to useful knowledge. In this paper, data mining techniques are used to discover knowledge from the available database in a systematic manner (KDD). The results show that thanks to data mining techniques, useful direct, indirect and summarized knowledge are discovered for decision makers in the study area to empower them for better sustainable groundwater resources management.
机译:人口的快速增长,灌溉的增加和工业的发展,极大地增加了全世界水资源特别是地下水资源的脆弱性风险。由于水资源管理的复杂性,传统知识和管理已无法承担今天的责任。此外,近年来,越来越多的数据可用,并且随着计算能力的提高,数据挖掘的想法也应运而生。通过数据挖掘,可以将从不同来源获得的信息转换为有用的知识。在本文中,数据挖掘技术用于以系统方式(KDD)从可用数据库中发现知识。结果表明,借助数据挖掘技术,可以为研究区域的决策者们找到有用的直接,间接和概括性知识,以使他们能够更好地进行可持续的地下水资源管理。

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